Radar-based rainfall information has been widely used in hydrological and meteorological
applications, as it provides data with a high spatial and temporal resolution that improve …

Hydrology requires accurate and reliable rainfall input. Because of the strong spatial and
temporal variability of precipitation, estimation of spatially distributed rain rates is …

Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation in: Monthly
Weather Review Volume 144 Issue 12 (2016) Jump to Content Jump to Main Navigation …

An ensemble Kalman filter for convective‐scale data assimilation (KENDA) has been
developed for the COnsortium for Small‐scale MOdelling (COSMO) model. The KENDA …

Over the past 100 years, the collaborative effort of the international science community,
including government weather services and the media, along with the associated …

Storm-Scale Data Assimilation and Ensemble Forecasting with the NSSL Experimental
Warn-on-Forecast System. Part I: Radar Data Experiments in: Weather and Forecasting Volume …

Assimilation of Reflectivity Data in a Convective-Scale, Cycled 3DVAR Framework with
Hydrometeor Classification in: Journal of the Atmospheric Sciences Volume 69 Issue 3 (2012) …

Indirect Assimilation of Radar Reflectivity with WRF 3D-Var and Its Impact on Prediction of Four
Summertime Convective Events in: Journal of Applied Meteorology and Climatology Volume …

The Impact of Size Sorting on the Polarimetric Radar Variables in: Journal of the
Atmospheric Sciences Volume 69 Issue 6 (2012) Jump to Content Jump to Main Navigation …

A Comparison of Multiscale GSI-Based EnKF and 3DVar Data Assimilation Using Radar and
Conventional Observations for Midlatitude Convective-Scale Precipitation Forecasts in: Monthly …